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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 4910
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    Explanations

    instances of something being forcefully taken away or stolen

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "from" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ratulations
    -0.91
    merce
    -0.89
    ICA
    -0.78
    SPONSORED
    -0.76
    ilater
    -0.74
    retty
    -0.74
    ãĤ¦ãĤ¹
    -0.72
    QUI
    -0.72
    ril
    -0.70
    ICAN
    -0.70
    POSITIVE LOGITS
     afar
    0.99
     beneath
    0.98
     underneath
    0.96
     whence
    0.92
     unsuspecting
    0.85
     thence
    0.83
     circulation
    0.78
     shelves
    0.77
     bushes
    0.77
     throats
    0.76
    Activations Density 0.120%

    No Known Activations